






'''simple docstring'''







from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCAmelCase        =							logging.get_logger(__name__)

__lowerCAmelCase        =							{"ctrl": "https://huggingface.co/ctrl/resolve/main/config.json"}




class   __SCREAMING_SNAKE_CASE       (__A       ):


  """simple docstring"""


  _a  : Any      			=     '''ctrl'''
  _a  : str      			=     ['''past_key_values''']
  _a  : List[Any]      			=     {
      '''max_position_embeddings''': '''n_positions''',
      '''hidden_size''': '''n_embd''',
      '''num_attention_heads''': '''n_head''',
      '''num_hidden_layers''': '''n_layer''',
  }







  def __init__(			self   ,	UpperCamelCase__=246_534   ,	UpperCamelCase__=256   ,	UpperCamelCase__=1_280   ,	UpperCamelCase__=8_192   ,	UpperCamelCase__=48   ,	UpperCamelCase__=16   ,	UpperCamelCase__=0.1   ,	UpperCamelCase__=0.1   ,	UpperCamelCase__=1e-6   ,	UpperCamelCase__=0.02   ,	UpperCamelCase__=True   ,	**UpperCamelCase__   ,	):






         """simple docstring"""


         a_						     =			vocab_size
         a_						     =			n_positions
         a_						     =			n_embd
         a_						     =			n_layer
         a_						     =			n_head
         a_						     =			dff
         a_						     =			resid_pdrop
         a_						     =			embd_pdrop
         a_						     =			layer_norm_epsilon
         a_						     =			initializer_range

         a_						     =			use_cache

         super().__init__(**UpperCamelCase__	)












'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__lowerCAmelCase        =							{"configuration_glpn": ["GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP", "GLPNConfig"]}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __lowerCAmelCase        =							["GLPNFeatureExtractor"]
  __lowerCAmelCase        =							["GLPNImageProcessor"]

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __lowerCAmelCase        =							[
      "GLPN_PRETRAINED_MODEL_ARCHIVE_LIST",
      "GLPNForDepthEstimation",
      "GLPNLayer",
      "GLPNModel",
      "GLPNPreTrainedModel",
  ]


if TYPE_CHECKING:
  from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_glpn import GLPNFeatureExtractor
    from .image_processing_glpn import GLPNImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_glpn import (
        GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
        GLPNForDepthEstimation,
        GLPNLayer,
        GLPNModel,
        GLPNPreTrainedModel,
    )


else:
  import sys

  __lowerCAmelCase        =							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




